We evaluate the encoding and decoding processes on synthetic FlyingThings3D dataset [1]}. We synthesize noisy captured images based on the image formation model Eq. REF . Two calibration images (one with projector light all on and one with projector light all off) are additionally captured. Total exposure time is fixed for all methods. Fig. REF  (c) shows one data frame from original gray code SL, one data frame from a \((22, 10, 8)\)  ECC SL, and an error correction frame. It can be seen that the ECC SL frames are dimmer and noisier due to the shorter per-frame exposure time.
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